CN117472629B - Multi-fault diagnosis method and system for electronic information system - Google Patents
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Abstract
The application discloses a multi-fault diagnosis method and system for an electronic information system, and relates to the technical field of multi-fault diagnosis of the electronic information system. The method comprises the following steps: acquiring surrounding environment characteristics, determining parameters of the system when the electronic information system has no fault according to the influence of the environment on the parameters, and obtaining comparison parameter data; detecting real-time parameters according to the comparison parameter data, comparing the comparison parameters with the real-time parameters, and diagnosing whether the system has faults or not; if the real-time parameters are consistent with the comparison parameters, diagnosing that no fault exists, and obtaining fault-free data; if the real-time parameters are inconsistent with the comparison parameters, diagnosing the system to be faulty, and obtaining preliminary diagnosis data; based on the preliminary diagnosis data, screening faults related to parameters according to parameter variation to obtain preliminary fault data; and determining the fault type according to the preliminary fault data and the association degree between faults to obtain fault diagnosis data. The application improves the accuracy of multi-fault diagnosis of the electronic information system.
Description
Technical Field
The application relates to the technical field of multi-fault diagnosis of an electronic information system, in particular to a multi-fault diagnosis method and system of the electronic information system.
Background
Electronic information systems generally refer to circuits, such as communication systems, radar systems, computer systems, electronic measurement systems, automatic control systems, etc., that are electronic devices capable of performing a certain task, consisting of electronic components or parts, capable of generating, transmitting, or processing electrical signals and information. In daily life, electronic information systems offer great convenience to people. At the same time, the electronic information is easy to stretch and move the whole body when faults occur, so that irreversible loss is caused, and therefore, the faults of the electronic information system need to be focused, so that the problems can be solved in time, and the loss is reduced.
In the related art, multiple faults are difficult to detect in diagnosis of single faults, and fault mistakes are easy to cause. Most of the multiple fault detection processes are used for comparing faults, so that a great deal of time is wasted in the comparison process. On the other hand, the effect caused by multiple faults is different due to the influence of the surrounding environment, and diagnosis errors are easily caused by simple comparison, so that improvement exists.
Therefore, we propose a method and a system for diagnosing multiple faults of an electronic information system to solve the above problems.
Disclosure of Invention
The invention aims to provide a multi-fault diagnosis method and system for an electronic information system, which are used for solving the problems in the background technology.
In a first aspect, the present application provides a multiple fault diagnosis method for an electronic information system, which adopts the following technical scheme:
acquiring surrounding environment characteristics, determining parameters of the system when the electronic information system has no fault according to the influence of the environment on the parameters, and obtaining comparison parameter data;
Detecting real-time parameters according to the comparison parameter data, comparing the comparison parameters with the real-time parameters, and diagnosing whether a system has faults or not; if the real-time parameters are consistent with the comparison parameters, diagnosing that no fault exists, and obtaining fault-free data;
If the real-time parameters are inconsistent with the comparison parameters, diagnosing the system to be faulty, and obtaining preliminary diagnosis data;
based on the preliminary diagnosis data, screening faults related to parameters according to parameter variation to obtain preliminary fault data;
and determining the fault type according to the preliminary fault data and the association degree between faults to obtain fault diagnosis data.
By adopting the technical scheme, the possibility of fault type can be estimated preliminarily according to the change of parameters, and more accurate fault data can be obtained by further screening and then determining according to the association degree. Multiple data are detected at the same time, so that the time for single fault investigation is reduced, more accurate fault conditions can be obtained after screening, and the accuracy of multi-fault diagnosis of the electronic information system is improved.
Preferably, the step of obtaining the characteristic of the surrounding environment, determining the parameter of the system when the electronic information system has no fault according to the influence of the environment on the parameter, and obtaining the comparison parameter data specifically includes the following steps:
acquiring an environment when the electronic information system is debugged and operated, and obtaining standard environment data, wherein the standard environment data comprises temperature data, humidity data and air pressure data;
Based on the standard environment data, matching parameters of the electronic information system which does not fail in the debugging environment during operation to obtain standard parameter data;
acquiring the environment condition of the electronic information system during actual operation to obtain diagnosis environment data;
and analyzing the operation parameters of the electronic information system according to the influence of the diagnosis environment on the parameters according to the diagnosis environment data, the standard environment data and the standard parameter data to obtain the comparison parameter data.
By adopting the technical scheme, more accurate parameter values under different diagnosis conditions can be obtained according to the change curve between the environment and the parameters. The comparison parameter data is more reliable, the obtained data is also more reliable, and the reliability of multi-fault diagnosis of the electronic information system is improved.
Preferably, the step of analyzing the operation parameters of the electronic information system according to the influence of the diagnostic environment on the parameters according to the diagnostic environment data, the standard environment data and the standard parameter data to obtain the comparison parameter data specifically includes the following steps:
based on the temperature data, acquiring electronic information system parameters affected by the temperature, generating correlation curves of different parameters and the temperature, and obtaining temperature curve data;
According to the humidity data and the air pressure data, respectively acquiring electronic information system parameters influenced by humidity and air pressure, generating correlation curves among different parameters, humidity and air pressure, and obtaining humidity curve data and air pressure curve data;
comprehensively obtaining curve data based on the temperature curve data, the humidity curve data and the air pressure curve data;
and determining the parameter value of the electronic information system according to the curve data and the diagnosis environment data and the curve relation between the environment and the parameter, and obtaining the contrast parameter data.
By adopting the technical scheme, the temperature, humidity and air pressure and parameter change curves in the environment are obtained, and whether the electronic information system fails or not can be accurately judged under different diagnosis environments. When accurate parameter data are compared, accurate results are obtained, and the error of multi-fault diagnosis of the electronic information system is reduced.
Preferably, the real-time parameter is detected according to the comparison parameter data, the comparison parameter is compared with the real-time parameter, and whether the system has faults is diagnosed; if the real-time parameters are consistent with the comparison parameters, diagnosing that no fault exists, and obtaining fault-free data, and further comprising the following steps:
Detecting the values of all parameters of the electronic information system during diagnosis to obtain real-time parameter data;
based on the real-time parameter data, acquiring the instrument precision for detecting the parameters of the electronic information system, and determining an error range to obtain real-time parameter range data;
according to the comparison parameter data, obtaining errors of the comparison parameter data, and analyzing fluctuation range of the comparison parameter to obtain comparison parameter range data;
Based on the real-time parameter range data and the comparison parameter range data, if an intersection exists between the real-time parameter data fluctuation range and the comparison parameter range, the real-time parameter is considered to be consistent with the comparison parameter, and the fault is diagnosed to obtain fault-free data.
Through the technical scheme, the running parameters of the electronic information system are detected through the instrument, and certain errors exist. And the comparison range is enlarged according to the error range, so that fault diagnosis errors caused by detection errors are reduced, and the accuracy of multi-fault diagnosis of the electronic information system is improved.
Preferably, if the real-time parameter is inconsistent with the comparison parameter, the step of diagnosing the fault of the system and obtaining preliminary diagnosis data specifically includes the following steps:
based on the real-time parameter range data and the comparison parameter range data, if no intersection exists between the real-time parameter range and the comparison parameter range, diagnosing that the system fails to obtain failure data;
Based on the fault data, screening parameters of which the real-time parameter range is inconsistent with the comparison parameter range to obtain preliminary parameter data;
Acquiring the parameter fluctuation size and the fault degree corresponding to the parameter fluctuation size according to the preliminary parameter data, drawing a curve based on the parameter fluctuation size and the fault degree, acquiring the current parameter fluctuation size, and acquiring the fault degree corresponding to the current parameter fluctuation size based on the curve to obtain fault degree data;
and combining the preliminary parameter data and the fault degree data to comprehensively obtain the preliminary diagnosis data.
By adopting the technical scheme, the fault types possibly caused by the parameters are screened out, so that on one hand, more accurate error diagnosis results can be obtained, and on the other hand, the preliminary screening is simpler, the time is saved, the speed of obtaining the results is faster, and the rapidity of multi-fault diagnosis of the electronic information system is improved.
Preferably, the step of screening the faults related to the parameters based on the preliminary diagnosis data according to parameter variation to obtain preliminary fault data further comprises the following steps:
acquiring all fault types of an electronic information system and parameter variation ranges caused by the fault types to obtain fault type data;
Screening fault types matched with parameter variation according to the fault type data and the preliminary diagnosis data to obtain first fault data;
Acquiring a parameter variation range caused by the fault type based on the fault type data to obtain standard variation range data;
Screening out fault types which do not accord with the parameter variation range according to the first fault data and the standard variation range data, and obtaining second fault data after eliminating;
and based on the second fault data, the fault degree data and the standard variation range data, overlapping the range interval of the fault type caused by the same parameter, screening out fault combinations which do not accord with the range interval, and eliminating the fault combinations to obtain the preliminary fault data.
By adopting the technical scheme, the faults which are not generated can be further screened out through the comparison of various parameter changes caused by the fault types. Meanwhile, according to the difference of parameter variation intervals caused by faults, unmatched faults can be rapidly screened out, more accurate results are obtained, and the practicability of multi-fault diagnosis of the electronic information system is improved.
Preferably, the step of screening the fault type matched with the parameter variation according to the fault type data and the preliminary diagnosis data to obtain first fault data further includes the following steps:
screening fault types matched with parameter variation according to the fault type data and the preliminary diagnosis data to obtain primary fault data;
based on the primary fault data and the fault type data, acquiring all parameter changes caused by faults, screening fault types with unmatched parameter changes, and obtaining intermediate fault data;
Acquiring environmental conditions required by the occurrence of faults based on the fault type data, wherein the environmental conditions comprise temperature, humidity and air pressure, and obtaining occurrence condition data;
Screening fault types which can occur in a diagnosis environment according to the occurrence condition data and the diagnosis environment data to obtain advanced fault data;
and acquiring an intersection of the intermediate fault and the high-level fault based on the intermediate fault data and the high-level fault data to obtain the first fault data.
By adopting the technical scheme, after the fault types are screened according to the parameters, the unmatched fault types can be screened again according to the reverse verification of the parameter changes caused by the fault types. Meanwhile, some faults can be verified and screened according to occurrence conditions, unmatched fault types are removed, subsequent diagnosis can be simplified, and convenience of multi-fault diagnosis of the electronic information system is improved.
Preferably, the step of determining the fault type according to the preliminary fault data and the degree of association between faults to obtain fault diagnosis data specifically includes the following steps:
Based on the preliminary fault data, acquiring the condition that the parameters only correspond to one fault type, and collecting the fault type to obtain primary fault data;
According to the preliminary fault data, collecting fault type data for the condition that parameters correspond to multiple fault types but are combined through unique fault types, and obtaining secondary fault data;
Based on the preliminary fault data, for the condition that parameters correspond to multiple fault types and multiple fault type combinations exist, the association degree between the fault types is analyzed, and the fault type combination with the highest association degree is selected to obtain three-level fault data;
And combining the primary fault data, the secondary fault data and the tertiary fault data to comprehensively obtain the fault diagnosis data.
By adopting the technical scheme, the correlation degree between faults is used as the basis of fault diagnosis, so that the reliability of fault diagnosis can be improved. Different conditions are treated differently, the simple condition is simple to diagnose, the load of fault diagnosis can be reduced, the service life of diagnosis equipment is prolonged, meanwhile, the fault diagnosis result is obtained more rapidly, and the practicability of multi-fault diagnosis of the electronic information system is improved.
Preferably, the step of analyzing the degree of association between the fault types and selecting the fault type combination with the highest degree of association to obtain three-level fault data based on the preliminary fault data for the case that the parameters correspond to a plurality of fault types and have a plurality of fault type combinations, further comprises the following steps:
based on the preliminary fault data, obtaining the association degree between each fault type to obtain association degree data;
Acquiring a correlation curve of the environment and the correlation degree according to the correlation degree data to obtain environment influence data;
Based on the environmental impact data and the diagnosis environmental data, acquiring the relevance of the fault types in the diagnosis environment, and acquiring real-time relevance data according to the relevance of the fault types;
according to the real-time association data and the association degree between fault types, calculating comprehensive association degree data of the fault types to obtain comprehensive association data;
and based on the comprehensive association data, sequencing the comprehensive association degree, and verifying according to the sequence from high to low of the comprehensive association degree to obtain the three-level fault data.
By adopting the technical scheme, the environment condition can be more closely diagnosed according to the association degree between environment analysis faults, and more accurate data can be obtained. Meanwhile, according to the comprehensive relevance of the analysis faults, the verification is carried out from high to low, so that the verification can be more rapid and successful, the fault diagnosis result is obtained, and the convenience of multi-fault diagnosis of the electronic information system is improved.
In a second aspect, the present application provides an electronic information system multi-fault diagnosis system, which adopts the following technical scheme:
The system comprises an acquisition module, a detection module, a screening module and a diagnosis module, wherein the acquisition module is used for acquiring the surrounding environment and outputting environment data; the detection module is used for detecting the parameter value of the electronic information system and outputting parameter data; the screening module is in signal connection with the acquisition module and the detection module and is used for receiving the environment data and the parameter data, and outputting fault data after fault screening; the diagnosis module is in signal connection with the screening module and is used for receiving the fault data and outputting diagnosis data after diagnosis.
Through the technical scheme, the electronic module reduces the waste of manual resources, can perform fault diagnosis in real time, discovers fault problems in time, and reduces damage to an electronic information system. In addition, the fault diagnosis is realized through the electronic module, so that the subjectivity of staff diagnosis is reduced, and the accuracy of multi-fault diagnosis of the electronic information system is improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the possibility of fault types can be estimated preliminarily according to the change of the parameters, and more accurate fault data can be obtained by further screening and then determining according to the association degree. Multiple data are detected at the same time, so that the time for single fault investigation is reduced, more accurate fault conditions can be obtained after screening, and the accuracy of multi-fault diagnosis of the electronic information system is improved.
2. According to the change curve between the environment and the parameters, more accurate parameter values under different diagnosis conditions can be obtained. The comparison parameter data is more reliable, the obtained data is also more reliable, and the reliability of multi-fault diagnosis of the electronic information system is improved.
3. The correlation between faults is used as the basis of fault diagnosis, so that the reliability of fault diagnosis can be improved. Different conditions are treated differently, the simple condition is simple to diagnose, the load of fault diagnosis can be reduced, the service life of diagnosis equipment is prolonged, meanwhile, the fault diagnosis result is obtained more rapidly, and the practicability of multi-fault diagnosis of the electronic information system is improved.
Drawings
FIG. 1 is a schematic diagram showing the steps of a method for diagnosing multiple faults in an electronic information system according to the present invention;
FIG. 2 is a schematic diagram showing steps of a method for diagnosing multiple faults in an electronic information system according to the present invention;
FIG. 3 is a schematic diagram showing the steps of a method for diagnosing multiple failures in an electronic information system 14 according to the present invention;
FIG. 4 is a schematic diagram showing steps of a method for diagnosing multiple failures in an electronic information system according to the present invention;
FIG. 5 is a schematic diagram showing steps of a method for diagnosing multiple failures in an electronic information system according to the present invention;
FIG. 6 is a schematic diagram showing steps of a multiple fault diagnosis method for an electronic information system according to the present invention;
FIG. 7 is a schematic diagram showing steps of a method 42 for diagnosing multiple failures in an electronic information system according to the present invention;
FIG. 8 is a schematic diagram showing steps of a method for diagnosing multiple failures in an electronic information system according to the present invention;
fig. 9 is a schematic diagram showing specific steps of step 53 of a multiple fault diagnosis method of an electronic information system according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and fig. 1 to 9, but the embodiments of the present invention are not limited thereto.
Examples:
The invention discloses a multi-fault diagnosis method of an electronic information system, which specifically comprises the following steps with reference to fig. 1:
step S1, obtaining surrounding environment characteristics, determining parameters of the system when the electronic information system has no fault according to the influence of the environment on the parameters, and obtaining comparison parameter data.
And S2, detecting real-time parameters according to the comparison parameter data, comparing the comparison parameters with the real-time parameters, and diagnosing whether the system has faults or not. If the real-time parameters are consistent with the comparison parameters, diagnosing that no fault exists, and obtaining fault-free data.
And step S3, if the real-time parameters are inconsistent with the comparison parameters, diagnosing the system to be faulty, and obtaining preliminary diagnosis data.
And S4, screening faults related to the parameters according to parameter variation based on the preliminary diagnosis data to obtain preliminary fault data.
And S5, determining the fault type according to the preliminary fault data and the association degree between faults to obtain fault diagnosis data.
In practical application, the fault of the electronic information system can be quickly found through the parameter change, and when multiple faults occur together, the parameter change needs to be analyzed more accurately so as to obtain an accurate diagnosis result. Meanwhile, the operation parameters of the electronic information system can be changed only when faults occur, and under different environments, the parameters also change differently. And the contrast parameters are determined according to the environmental change, so that more accurate diagnosis results can be obtained. For example, the A parameter may be changed, which may be caused by the A fault or the B fault, or may be caused by the A fault and the B fault together, and the combination of fault types may be confirmed according to the parameter change, so that the diagnosis result is obtained.
Referring to fig. 2, the steps of acquiring the characteristics of the surrounding environment, determining the parameters of the system when the electronic information system has no fault according to the influence of the environment on the parameters, and obtaining the comparison parameter data specifically include the following steps:
step S11, acquiring an environment when the electronic information system is debugged and operated, and obtaining standard environment data, wherein the standard environment data comprises temperature data, humidity data and air pressure data.
And step S12, based on the standard environment data, matching parameters of the electronic information system which is not failed in the debugging environment during operation to obtain standard parameter data.
And step S13, acquiring the environment condition of the electronic information system in actual operation, namely the environment condition in fault diagnosis, and obtaining diagnosis environment data.
And S14, analyzing the operation parameters of the electronic information system according to the influence of the diagnosis environment on the parameters according to the diagnosis environment data, the standard environment data and the standard parameter data to obtain comparison parameter data.
In practical application, the parameter values of the electronic information system are also affected by the environment, and the parameter value ranges are different in different environments. For example, in a high temperature environment, when an electronic device is operated, power consumption is increased, performance is reduced, the increase of power consumption causes the temperature of the electronic information system to rise, and the temperature of the surrounding environment also affects the temperature when the electronic information system is operated. The temperature of the electronic information system may be higher when operating in the summer than when operating in the winter. When the temperature of the electronic information system reaches 40 ℃, the electronic information system is normal in a summer high-temperature environment, and the electronic information system is indicated to be faulty in winter.
Referring to fig. 3, according to the diagnostic environment data, the standard environment data and the standard parameter data, according to the influence of the diagnostic environment on the parameters, analyzing the operation parameters of the electronic information system to obtain the comparison parameter data, specifically comprising the following steps:
Step S141, based on the temperature data, acquiring the parameters of the electronic information system affected by the temperature, generating the correlation curves of different parameters and the temperature, and obtaining the temperature curve data.
And S142, respectively acquiring electronic information system parameters influenced by humidity and air pressure according to the humidity data and the air pressure data, and generating correlation curves among different parameters, humidity and air pressure to obtain humidity curve data and air pressure curve data.
In step S143, curve data is obtained based on the temperature curve data, the humidity curve data, and the air pressure curve data.
Step S144, according to the curve data and the diagnosis environment data, the parameter values of the electronic information system are determined according to the curve relation between the environment and the parameters, and the comparison parameter data are obtained.
In practical application, the influence degree of various parameters by the environment is different, and the parameter values of the electronic information system in diagnosis are obtained through the practical association curves of the various parameters and the environment, so that the data are more reliable. For example, at high temperature, the heat dissipation fan rotates more rapidly to accelerate heat dissipation, power consumption increases, and parameters fluctuate greatly. However, when the humidity increases, the rotation of the fan is not accelerated, and therefore, the power consumption of the fan is less affected by the humidity. And the drying system is quite opposite, and has low power consumption at high temperature and high power consumption at high humidity. The comparison parameters are more reliable only when the actual association relation between different parameters and the environment is obtained.
Referring to fig. 4, real-time parameters are detected according to the comparison parameter data, the comparison parameters and the real-time parameters are compared, and whether the system fails is diagnosed. If the real-time parameters are consistent with the comparison parameters, diagnosing that no fault exists, and obtaining fault-free data, and further comprising the following steps:
and S21, detecting the numerical values of all parameters of the electronic information system during diagnosis to obtain real-time parameter data.
Step S22, based on the real-time parameter data, the accuracy of the instrument for detecting the parameters of the electronic information system is obtained, and an error range is determined, so that the real-time parameter range data is obtained.
Step S23, according to the comparison parameter data, the error of the comparison parameter data is obtained, and the fluctuation range of the comparison parameter is analyzed to obtain the comparison parameter range data.
And step S24, based on the real-time parameter range data and the comparison parameter range data, if the real-time parameter data fluctuation range and the comparison parameter range have an intersection, the real-time parameter is considered to be consistent with the comparison parameter, and the fault-free data are obtained by diagnosing that the fault does not occur.
In practical application, the detection by the instrument has certain error, so that the obtained data is not consistent with the actual data in percentage, and has a correct data range. In order to reduce the occurrence of multiple fault diagnosis errors due to errors, error data needs to be taken into account. And whether the actual parameters are detected or the comparison parameters are set, certain errors exist. For example, in a diagnostic environment, the comparative temperature value is 25 degrees celsius, the error is ±0.5 degrees celsius, the actual detected temperature is 25.4 degrees celsius, and the error is ±0.1 degrees celsius. Therefore, the comparison temperature range is 24.5-25.5 ℃, the actual detection temperature range is 25.3-25.5 ℃, and the comparison temperature range is intersected, so that no fault is considered.
Referring to fig. 5, if the real-time parameter is inconsistent with the comparison parameter, the diagnosis system fails to obtain preliminary diagnosis data, which specifically includes the following steps:
Step S31, based on the real-time parameter range data and the comparison parameter range data, if the real-time parameter range and the comparison parameter range have no intersection, diagnosing that the system has faults, and obtaining fault data.
And step S32, based on the fault data, screening parameters of which the real-time parameter range is inconsistent with the comparison parameter range, and obtaining preliminary parameter data.
And step S33, acquiring the parameter fluctuation size and the fault degree corresponding to the parameter fluctuation size according to the preliminary parameter data, drawing a curve based on the parameter fluctuation size and the fault degree, acquiring the current parameter fluctuation size, and acquiring the fault degree corresponding to the current parameter fluctuation size based on the curve to obtain fault degree data.
Step S34, combining the preliminary parameter data and the fault degree data to comprehensively obtain preliminary diagnosis data.
In practical application, when the interval obtained by comparing the parameters and the actual parameters according to the errors has no intersection, the electronic information system is indicated to have faults, and the faults need to be screened according to the actual parameter variation. The fault types corresponding to each parameter are different, so that the faults which are not generated can be screened out. For example, the A parameter change may be an A fault or a B fault, the B parameter change may be a C fault or a D fault, and only the A parameter change is performed at this time, so that the C fault and the D fault can be eliminated, the fault range is reduced, and the fault type can be determined more easily.
Referring to fig. 6, the step of screening the faults related to the parameters based on the preliminary diagnosis data according to the parameter variation to obtain preliminary fault data further includes the steps of:
Step S41, obtaining all fault types of the electronic information system and parameter variation ranges caused by the fault types, and obtaining fault type data.
Step S42, screening fault types matched with parameter variation according to the fault type data and the preliminary diagnosis data to obtain first fault data.
Step S43, based on the fault type data, acquiring parameter variation range caused by the fault type, and obtaining standard variation range data.
And S44, screening out fault types which do not accord with the parameter variation range according to the first fault data and the standard variation range data, and removing to obtain second fault data.
And step S45, based on the second fault data, the fault degree data and the standard variation range data, overlapping the range intervals of the fault types caused by the same parameters, screening out fault combinations which do not accord with the range intervals, and eliminating the fault combinations to obtain preliminary fault data.
In practical application, the fault parameters caused by different fault types are different, and the fault types which are not in accordance with the fault parameters can be further screened out according to the parameter changes caused by the faults. For example, based on the preliminary screening, it is determined that the electronic information system may have an a-fault or a B-fault, or an a-fault and a B-fault, for a total of 3 possibilities. The parameter variation caused by the A fault is 1-10, the parameter variation caused by the B fault is 1-20, at the moment, the parameter variation is 15, the A fault is not met, and the B fault is met. However, since the parameter variation when the A-fault and the B-fault occur simultaneously is 2 to 30, the combination of faults occurring together with the A-fault and the B-fault is also satisfied, and the A-fault alone can be eliminated.
Referring to fig. 7, the step of screening the fault type matched with the parameter variation according to the fault type data and the preliminary diagnosis data to obtain first fault data further includes the steps of:
Step S421, screening the fault type matched with the parameter variation according to the fault type data and the preliminary diagnosis data to obtain the preliminary fault data.
Step S422, based on the primary fault data and the fault type data, all parameter changes caused by faults are acquired, and fault types with unmatched parameter changes are filtered and removed, so that intermediate fault data are obtained.
Step S423, based on the fault type data, obtaining the environmental conditions required by the fault, wherein the environmental conditions comprise temperature, humidity and air pressure, and obtaining the occurrence condition data.
Step S424, the fault types which can occur in the diagnosis environment are screened according to the occurrence condition data and the diagnosis environment data, and high-level fault data are obtained.
Step S425, acquiring an intersection of the intermediate fault and the advanced fault based on the intermediate fault data and the advanced fault data, to obtain first fault data.
In practical application, certain conditions are sometimes required for the occurrence of faults, and further screening can be performed according to parameter changes caused by the occurrence of faults. For example, when the possible occurrence of the failure of the electronic information system is selected as the B failure or the simultaneous occurrence of the A and B failures, the A failure not only causes the change of the A parameter but also causes the change of the C parameter, but the C parameter of the electronic information system is not changed, so that the A failure can be removed, and the electronic information system failure can be obtained as the B failure; the possible faults of the parameter B are C faults and D faults, but the D faults only occur when the temperature is above 40 ℃ and the temperature is 25 ℃ in diagnosis, so that the D faults can be eliminated.
Referring to fig. 8, determining a fault type according to the preliminary fault data and the degree of association between faults, and obtaining fault diagnosis data, specifically includes the following steps:
step S51, based on the preliminary fault data, acquiring the condition that the parameters only correspond to one fault type, and collecting the fault type to obtain primary fault data.
Step S52, according to the preliminary fault data, for the condition that the parameters correspond to a plurality of fault types but are combined through the unique fault types, collecting the fault type data to obtain secondary fault data.
Step S53, based on the preliminary fault data, for the condition that parameters correspond to multiple fault types and multiple fault type combinations exist, the association degree between the fault types is analyzed, and the fault type combination with the highest association degree is selected to obtain three-level fault data.
And step S54, combining the primary fault data, the secondary fault data and the tertiary fault data to comprehensively obtain fault diagnosis data.
In practical application, the results generated by analyzing the faults of the electronic information system according to the parameters are different. When only one fault type remains after the fault type is removed and screened, a determined result can be obtained. For many combinations of faults, further analysis is required according to the degree of association. For example, the first, second and third parameters of the electronic information system are all changed, the fault corresponding to the first parameter is a B fault, the fault corresponding to the second parameter is a C and D fault, the fault corresponding to the third parameter is a E, F, G fault, a E, F fault and a F, G fault, and it can be obtained that the fault already generated by the electronic information system is a B, C, D fault, and the fault remains to be analyzed.
Referring to fig. 9, based on the preliminary fault data, for the case that the parameters correspond to a plurality of fault types and there are a plurality of fault type combinations, the correlation between the fault types is analyzed, and the fault type combination with the highest correlation is selected, so as to obtain three-level fault data, and the method further includes the following steps:
Step S531, based on the preliminary fault data, obtaining the association degree between each fault type, and obtaining association degree data.
Step S532, according to the association degree data, obtaining an association curve of the environment and the association degree, namely the influence of the environment on the association degree, and obtaining environment influence data.
In step S533, based on the environmental impact data and the diagnosis environmental data, the fault type association degree under the diagnosis environment is obtained, and real-time association data is obtained according to the fault type association degree.
Step S534, according to the real-time association data, the comprehensive association data of the fault types are calculated according to the association degree between the fault types, and the comprehensive association data are obtained.
Step S535, based on the comprehensive association data, comprehensive association degree ordering is performed, verification is performed according to the order of high comprehensive association degree to low comprehensive association degree, and three-level fault data are obtained.
In practical application, the degree of association between faults is also affected by the environment, and environmental factors affecting the degree of association of faults of the electronic information system include temperature, humidity, air pressure and the like. For example, the first parameter affects the second parameter, and at 25 degrees celsius, the first parameter affects the second parameter more strongly, and the degree of correlation is also more strongly, but at 40 degrees celsius, the first parameter affects the second parameter less strongly, and the degree of correlation is also less strongly. For multi-fault combinations, for example, the degree of correlation between a fault and B fault combinations is 90, the degree of correlation between a fault and C fault combinations is 80, and the degree of correlation between B fault and C fault combinations is 70, then the degree of correlation between A, B, C faults is (90+80+70)/(3=80).
The electronic information system multi-fault diagnosis system comprises an acquisition module, a detection module, a screening module and a diagnosis module, wherein the acquisition module is used for acquiring the surrounding environment and outputting environment data. The detection module is used for detecting the parameter value of the electronic information system and outputting parameter data. The screening module is in signal connection with the acquisition module and the detection module and is used for receiving the environment data and the parameter data, and outputting fault data after fault screening. The diagnosis module is in signal connection with the screening module and is used for receiving fault data and outputting diagnosis data after diagnosis.
In practical application, the electronic module can be used for rapidly collecting and calling the parameter values of the electronic information system and surrounding environment data, and then analyzing and processing the data to obtain a multi-fault diagnosis result. The waste of manual resources is reduced, the data result is more objective and reliable, and the accuracy of multi-fault diagnosis of the electronic information system is improved.
The implementation principle of the system is as follows: the method comprises the steps of firstly, collecting environmental conditions including temperature, humidity and air pressure when an electronic information system performs fault diagnosis through a collecting module, and obtaining environmental data. And then detecting various parameters of the electronic information system during operation by a detection module to obtain parameter data. And then, the screening module determines the parameter value of the electronic information system in the diagnosis environment according to the association curve of the parameter and the environment. And judging whether the parameters are in a reasonable range or not by combining errors generated in the acquisition process and the detection process, and if so, indicating that no fault is generated. If not, the electronic information system is indicated to generate faults, and specific faults need to be diagnosed. The screening module primarily screens possible fault combinations according to the variation of the parameters. And then, further screening out non-conforming fault combinations according to the parameter variation range caused by the faults. Then, the satisfactory fault combinations are confirmed by the parameter variations caused by the faults themselves. And finally screening according to fault occurrence conditions to determine possible fault combinations. And the diagnosis module analyzes the comprehensive association degree of faults according to possible fault combinations and combines the environment, sequentially verifies the fault combinations from high to low, and confirms the fault combination condition to obtain a multi-fault diagnosis result.
The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.
Claims (7)
1. The multi-fault diagnosis method for the electronic information system is characterized by comprising the following steps of:
acquiring surrounding environment characteristics, determining parameters of the system when the electronic information system has no fault according to the influence of the environment on the parameters, and obtaining comparison parameter data;
Detecting real-time parameters according to the comparison parameter data, comparing the comparison parameters with the real-time parameters, and diagnosing whether a system has faults or not; if the real-time parameters are consistent with the comparison parameters, diagnosing that no fault exists, and obtaining fault-free data;
if the real-time parameters are inconsistent with the comparison parameters, diagnosing the system to be faulty, and obtaining preliminary diagnosis data; the method specifically comprises the following steps:
based on the real-time parameter range data and the comparison parameter range data, if no intersection exists between the real-time parameter range and the comparison parameter range, diagnosing that the system fails to obtain failure data;
Based on the fault data, screening parameters of which the real-time parameter range is inconsistent with the comparison parameter range to obtain preliminary parameter data;
Acquiring the parameter fluctuation size and the fault degree corresponding to the parameter fluctuation size according to the preliminary parameter data, drawing a curve based on the parameter fluctuation size and the fault degree, acquiring the current parameter fluctuation size, and acquiring the fault degree corresponding to the current parameter fluctuation size based on the curve to obtain fault degree data;
combining the preliminary parameter data and the fault degree data to comprehensively obtain the preliminary diagnosis data;
Based on the preliminary diagnosis data, screening faults related to parameters according to parameter variation to obtain preliminary fault data; the method specifically comprises the following steps:
acquiring all fault types of an electronic information system and parameter variation ranges caused by the fault types to obtain fault type data;
screening fault types matched with parameter variation according to the fault type data and the preliminary diagnosis data to obtain primary fault data;
based on the primary fault data and the fault type data, acquiring all parameter changes caused by faults, screening fault types with unmatched parameter changes, and obtaining intermediate fault data;
Acquiring environmental conditions required by the occurrence of faults based on the fault type data, wherein the environmental conditions comprise temperature, humidity and air pressure, and obtaining occurrence condition data;
Screening fault types which can occur in a diagnosis environment according to the occurrence condition data and the diagnosis environment data to obtain advanced fault data;
acquiring an intersection of a medium-level fault and a high-level fault based on the medium-level fault data and the high-level fault data to obtain first fault data;
Acquiring a parameter variation range caused by the fault type based on the fault type data to obtain standard variation range data;
Screening out fault types which do not accord with the parameter variation range according to the first fault data and the standard variation range data, and obtaining second fault data after eliminating;
based on the second fault data, the fault degree data and the standard variation range data, overlapping the range interval of the fault type caused by the same parameter, screening out fault combinations which do not accord with the range interval, and eliminating the fault combinations to obtain the preliminary fault data;
and determining the fault type according to the preliminary fault data and the association degree between faults to obtain fault diagnosis data.
2. The method for diagnosing multiple faults in an electronic information system according to claim 1, wherein the step of obtaining the characteristics of the surrounding environment, determining the parameters of the system when the electronic information system has no faults according to the influence of the environment on the parameters, and obtaining the comparison parameter data comprises the following steps:
acquiring an environment when the electronic information system is debugged and operated, and obtaining standard environment data, wherein the standard environment data comprises temperature data, humidity data and air pressure data;
Based on the standard environment data, matching parameters of the electronic information system which does not fail in the debugging environment during operation to obtain standard parameter data;
acquiring the environment condition of the electronic information system during actual operation to obtain diagnosis environment data;
and analyzing the operation parameters of the electronic information system according to the influence of the diagnosis environment on the parameters according to the diagnosis environment data, the standard environment data and the standard parameter data to obtain the comparison parameter data.
3. The method for diagnosing multiple faults in an electronic information system according to claim 2, wherein the step of analyzing the operating parameters of the electronic information system to obtain the comparative parameter data according to the influence of the diagnostic environment on the parameters based on the diagnostic environment data, the standard environment data and the standard parameter data specifically comprises the steps of:
based on the temperature data, acquiring electronic information system parameters affected by the temperature, generating correlation curves of different parameters and the temperature, and obtaining temperature curve data;
According to the humidity data and the air pressure data, respectively acquiring electronic information system parameters influenced by humidity and air pressure, generating correlation curves among different parameters, humidity and air pressure, and obtaining humidity curve data and air pressure curve data;
comprehensively obtaining curve data based on the temperature curve data, the humidity curve data and the air pressure curve data;
and determining the parameter value of the electronic information system according to the curve data and the diagnosis environment data and the curve relation between the environment and the parameter, and obtaining the contrast parameter data.
4. The method for diagnosing multiple faults in an electronic information system according to claim 1, wherein the detecting real-time parameters according to the comparison parameter data compares the comparison parameter with the real-time parameters to diagnose whether the system has faults or not; if the real-time parameters are consistent with the comparison parameters, diagnosing that no fault exists, and obtaining fault-free data, and further comprising the following steps:
Detecting the values of all parameters of the electronic information system during diagnosis to obtain real-time parameter data;
based on the real-time parameter data, acquiring the instrument precision for detecting the parameters of the electronic information system, and determining an error range to obtain real-time parameter range data;
according to the comparison parameter data, obtaining errors of the comparison parameter data, and analyzing fluctuation range of the comparison parameter to obtain comparison parameter range data;
Based on the real-time parameter range data and the comparison parameter range data, if an intersection exists between the real-time parameter data fluctuation range and the comparison parameter range, the real-time parameter is considered to be consistent with the comparison parameter, and the fault is diagnosed to obtain fault-free data.
5. The method for diagnosing multiple faults in an electronic information system according to claim 1, wherein the step of determining the fault type according to the preliminary fault data and the degree of association between faults to obtain the fault diagnosis data specifically comprises the following steps:
Based on the preliminary fault data, acquiring the condition that the parameters only correspond to one fault type, and collecting the fault type to obtain primary fault data;
According to the preliminary fault data, collecting fault type data for the condition that parameters correspond to multiple fault types but are combined through unique fault types, and obtaining secondary fault data;
Based on the preliminary fault data, for the condition that parameters correspond to multiple fault types and multiple fault type combinations exist, the association degree between the fault types is analyzed, and the fault type combination with the highest association degree is selected to obtain three-level fault data;
And combining the primary fault data, the secondary fault data and the tertiary fault data to comprehensively obtain the fault diagnosis data.
6. The method for diagnosing multiple faults in an electronic information system according to claim 5, wherein the step of analyzing the degree of association between fault types and selecting the fault type combination with the highest degree of association to obtain three-level fault data for the case that parameters correspond to multiple fault types and there are multiple fault type combinations based on the preliminary fault data, further comprises the steps of:
based on the preliminary fault data, obtaining the association degree between each fault type to obtain association degree data;
Acquiring a correlation curve of the environment and the correlation degree according to the correlation degree data to obtain environment influence data;
Based on the environmental impact data and the diagnosis environmental data, acquiring the relevance of the fault types in the diagnosis environment, and acquiring real-time relevance data according to the relevance of the fault types;
according to the real-time association data and the association degree between fault types, calculating comprehensive association degree data of the fault types to obtain comprehensive association data;
and based on the comprehensive association data, sequencing the comprehensive association degree, and verifying according to the sequence from high to low of the comprehensive association degree to obtain the three-level fault data.
7. An electronic information system multi-fault diagnosis system, characterized in that the method comprises an acquisition module, a detection module, a screening module and a diagnosis module, wherein the acquisition module is used for acquiring the surrounding environment and outputting environment data; the detection module is used for detecting the parameter value of the electronic information system and outputting parameter data; the screening module is in signal connection with the acquisition module and the detection module and is used for receiving the environment data and the parameter data, and outputting fault data after fault screening; the diagnosis module is in signal connection with the screening module and is used for receiving the fault data and outputting diagnosis data after diagnosis.
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